Advanced functions simplify the application architecture

Provides various features such as PK auto-incrementing column and streaming read

PK auto-incrementing column

Solves problems with high concurrency in social IM and feed streams

Effective streaming read interface

Handles high concurrent reading and storage of massive data, and supports real-time computing of incremental data

Common Scenarios

Data Storage & Analysis

Social Feed Stream

Finance

IoV Data Storage

IoT Time Series Data

E-commerce

Data Storage & Analysis

Massive Data Storage & Analysis

A loop of storage and processing of massive data and online services

Tablestore provides low-cost, low-latency, and high-concurrency storage and online access of massive data, as well as incremental and full data tunnels, with support for SQL direct read and write on MaxCompute and other big data analysis platforms. Effective incremental streaming read interface allows easy real-time stream computing of data.

Advantages

Large-scale

10-PB-level data volume for a single table, trillion records and a capacity of 10-million-level TPS

High-availability massive message storage and multi-terminal message synchronizationElastic Pay-As-You-Go resources provide instances with two specifications, high performance and high capacity, meeting the needs of different services

Products

Storage of massive messages with high availability, high concurrency and stable latency

Table Store can be used to store IM messages and social feed stream information such as comments, follow-up posts and likes. The elastic resources stored in Table Store are billed under the Pay-As-You-Go model and at a relatively low cost Table Store can meet the needs of applications that feature significant traffic fluctuations and high concurrency while requiring low latency.

A design standard with 99.999999999% data reliability and three copies of the data ensures data securityThe average read/write performance for high performance instance is less than 10 ms/instance, which is not affected by data size

Products

The low latency, high concurrency, elastic resources and Pay-As-You-Go billing method of this service enables your risk control system to always operate in optimal conditions, allowing you to strictly control transaction risks. Meanwhile, the flexible data structure allows your business model to rapidly evolve to meet market demands.

Advantages

Scalability

A single table containing trillion records easily stores full history transaction records

Reliability

A design standard with 99.999999999% data reliability, and three copies of data ensure the data security

Flexible Usage

Schemafree model and attribute column fields (which are added as needed) for rapid service development

Products

A single table can store petabytes of data without distributing data in separate databases and tables, which simplifies the service logic. The schema-free data model enables easy access to the monitoring data of different vehicle-mounted devices. Table Store can be seamlessly integrated with multiple big data analysis platforms and real-time computing services for fast real-time online query and service report analysis.

Advantages

Data Scale

A single table can store tens of petabytes of data without distributing data in separate databases and tables, which simplifies the service logic

Stable Performance

The query performance of vehicle conditions and tracks is stable and predictable

Flexible Use

The schema-free data model enables easy access to the monitoring data of different vehicle-mounted devices

Products

With a single table capable of storing petabytes of data and processing thousands of queries per second (QPS), Table Store makes it easy to store the time series data of IoT devices and monitoring systems. The big data analysis SQL direct read function and the efficient incremental streaming read interface provide an easy way for offline data analysis and real-time stream computing.

Advantages

Data Scale

A single table can store tens of petabytes of data, meeting the needs of data write and storage of ultra large-scale IoT devices and monitoring systems

Data Analysis

Through interconnecting with multiple offline, stream data analysis platforms, a piece of data can satisfy analysis and computing scenarios for different services

Low-cost

Pay-As-You-Go, low cost, and support for TTL management

Products

Using Table Store for a large number of historical transaction orders makes it possible for you to deal with high data volume and access performance with ease. Combined with MaxCompute, Table Store enables precision marketing, elastic resource storage, and Pay-As-You-Go billing, so that you can easily cope with peak hours when all your users are online.

Advantages

Flexible Resources

Auto scaling of data size and access concurrency meets the needs of access during peaks and valleys